Tolerance landscapes in thermal ecology

By E. Rezende, L. E. Castañeda, Mauro Santos. 2014

380 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/66d70014a3001c7a7a2aab5a6beb7789da27c04c

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Citations in the corpus

Vulnerability to climate warming and acclimation capacity of tropical and temperate coastal organisms (2016, background): “Additionally, Rezende et al. (2014) demonstrated that the temperature range that an organism can tolerate is expected to narrow down with the duration of the thermal challenge, suggesting that a trade-off exists between tolerance to acute and chronic exposition to thermal stress.”
How to assess Drosophila heat tolerance: Unifying static and dynamic tolerance assays to predict heat distribution limits (2019, methodology): “Although we argue that there is no biological trade-off between the two parameters (z and sCTmax), we emphasise that both parameters are important and useful to describe the relation between temperature and tolerance time (Castañeda et al., 2015; Rezende et al., 2014).”
Heat hardening in a tropical lizard: geographic variation explained by the predictability and variance in environmental temperatures (2016, background): “The focus so far has largely been on vari- ation across, rather than within, species and, when within species, across large geographic distances rather than at the scales relevant to gene flow (although see Mu~noz et al. 2014; Rezende, Casta~neda & Santos 2014).”
Can we predict ectotherm responses to climate change using thermal performance curves and body temperatures? (2016, background): “These duration effects are particularly signiﬁcant at high temperatures, where performance usually declines with exposure time (Rezende et al. 2014).”
Local climatic changes affect biodiversity responses to land use: A review (2019, background): “Third, calculating thermal tolerances is only possible/de‐ sirable for a small number of species, with experiments being time‐ consuming and expensive (Araújo et al., 2013; Rezende et al., 2014).”